摘要
为了提升掘采装备可靠性,针对掘采装备振动信号的复杂性、时变性以及调制特征,应用光纤传感技术构建了掘采装备振动测试系统。对振动信号进行多尺度分解,重构了逼近系数、细节系数,分析了振动信号趋势特性、高频特性。选取较佳的细节系数,实施了功率谱分析,获得了掘采装备故障特征频率。结果表明,小波阈值降噪、小波分解与重构以及功率谱分析综合是分析掘采装备随机振动特性的有效方法。
In order to improve the reliability of mining equipment,aiming at the complexity,time variability and modulation characteristics of the vibration signal of mining equipment,the vibration testing system of mining equipment was constructed by using optical fiber sensing technology.The multi-scale decomposition of the vibration signal was carried out,the approximation coefficient and detail coefficient were reconstructed,and the trend characteristics and high-frequency characteristics of the vibration signal were analyzed.The better detail coefficient was selected,the power spectrum analysis was carried out,and the fault characteristic frequency of mining equipment was obtained.The results show that the combination of wavelet threshold de-noising,wavelet decomposition and reconstruction and power spectrum analysis were effective methods to analyze the random vibration characteristics of mining equipment.
作者
张礼才
Zhang Licai(Taiyuan Research Institute,China Coal Technology and Engineering Group,Taiyuan 030032,China;National Engineering Laboratory for Coal Mining Machinery,Taiyuan 030032,China)
出处
《煤矿机械》
2023年第3期33-36,共4页
Coal Mine Machinery
基金
国家重点研发计划(2020YFB1314003)
山西天地煤机自立重点项目(M2020-ZD03)
山西天地煤机自立项目(M2022-BZ01)。
关键词
光纤传感
随机振动
掘采装备
小波阈值去噪
小波分解与重构
功率谱
optical fiber sensing
random vibration
mining equipment
wavelet threshold denoising
wavelet decomposition and reconstruction
power spectrum
